Utilizing Low-cost Mobile Monitoring to Estimate the PM2.5 Inhaled Dose in Urban Environment

This study has developed a compact, low-cost, and real-time mobile monitoring (MM) device for estimating the PM2.5 inhaled dose. The MM consists of low-cost sensor, temperature humidity Wi-Fi module, microcontroller unit. system (carried on vehicle) been used to measure concentration, geolocation, meteorological factors during rush hour. To examine repeatability, new method was proposed calculate coefficient variance sensor reading. We several vehicle speeds evaluate its dependency A cover also introduced prevent airspeed effect carried vehicle. In this study, performing in areas. measured concentration then Monte Carlo technique introduce probabilistic body weight concentration. result shows that variation reading 2% average 2 minutes. found speed affects standard deviation Statistical analysis on-road area (53 µg m–3) higher than residential (41 m–3). around toll gate where many trucks pass PM2.5. addition, low variability caused weak relationship with children were estimated receive dose adults. Therefore, variations microenvironment local pollution sources such as truck food stalls are dominant affect spatial Real-time can help government make policy give warnings people traveling polluted